{"id":"W3198526768","doi":"10.1002/admt.202100652","title":"Intelligent Ureteral Stent for Early Detection of Hydronephrosis","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Stent; Hydronephrosis; Materials science; Ureter; Biomedical engineering; Radiology; Medicine; Surgery; Internal medicine; Urinary system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856563,0.0002775349,0.000344584,0.0004707784,0.0001092826,0.0003642366,0.0002762237,0.0005555525,0.0006394821],"category_scores_gemma":[0.0004316313,0.0001957945,0.0002366053,0.0001843552,0.0001662172,0.0002743309,0.0001997166,0.0002164159,0.0002062553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008161142,"about_ca_system_score_gemma":0.0001072669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145682,"about_ca_topic_score_gemma":0.0002370964,"domain_scores_codex":[0.9998067,0.00003265644,0.00001353254,0.00004361388,0.00008913341,0.00001430892],"domain_scores_gemma":[0.999745,0.00009325998,0.00006701984,0.00001993066,0.00005407587,0.00002076422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002179157,0.0000498004,0.006215573,0.000143122,0.00002712436,0.0004514779,0.00003536793,0.0002699619,0.9636942,0.0001408962,0.0003061159,0.02844839],"study_design_scores_gemma":[0.00003928718,0.0009607116,0.02889598,0.00004118035,0.0001242316,0.005833038,0.0000600338,0.01959294,0.9401419,0.0002263386,0.004031117,0.00005332483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8902206,0.00847796,0.09728209,0.0004036903,0.000277648,0.00007920594,0.0002541025,0.00108339,0.001921315],"genre_scores_gemma":[0.959547,0.001144009,0.03795526,0.0001629022,0.00006508664,0.0000207977,0.0000650177,0.00002026265,0.001019642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006394821,"threshold_uncertainty_score":0.002139211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901233194670816,"score_gpt":0.2725249218346247,"score_spread":0.2535125898879166,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}